Phyllis Giovannetti
University of Alberta
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Featured researches published by Phyllis Giovannetti.
Nursing Research | 2005
Carole A. Estabrooks; William K. Midodzi; Greta G. Cummings; Kathryn L. Ricker; Phyllis Giovannetti
BACKGROUND Evidence indicates that hospital nursing characteristics such as staffing contribute to patient outcomes. Less attention has been given to other hospital nursing characteristics central to optimal professional practice, namely nurse education and skill mix, continuity of care, and quality of the work environment. OBJECTIVE To assess the relative effects and importance of nurse education and skill mix, continuity of care, and quality of work environment in predicting 30-day mortality after adjusting for institutional factors and individual patients characteristics. METHOD A cross-sectional analysis of outcome data for 18,142 patients discharged from 49 acute care hospitals in Alberta, Canada, for diagnoses of acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, or stroke between April 1, 1998, and March 31, 1999, was done. Mortality data were linked to patient demographic and comorbidity factors, institutional characteristics, and hospital nursing characteristics derived from a survey of all registered nurses working in acute care hospitals. RESULTS Using multilevel analysis, it was determined that the log-odds for 30-day mortality varied significantly across hospitals (variance = .044, p < .001). Patient comorbidities and age explained 44.2% of the variance in 30-day mortality. After adjustment for patient comorbidities and demographic factors, and the size, teaching, and urban status of the study hospitals in a fixed-effects model, the odds ratios (95% confidence interval) of the significant hospital nursing characteristics that predict 30-day mortality were as follows: 0.81 (0.68-0.96) for higher nurse education level, 0.83 (0.73-0.96) for richer nurse skill mix, 1.26 (1.09-1.47) for higher proportion of casual or temporary positions, and 0.74 (0.60-0.91) for greater nurse-physician relationships. The institutional and hospital nursing characteristics explained an additional 36.9%. DISCUSSION Hospital nursing characteristics are an important consideration in efforts to reduce the risk of 30-day mortality of patients.
Health Policy | 2003
Kathryn L. Hesketh; Susan M Duncan; Carole A. Estabrooks; Marlene Reimer; Phyllis Giovannetti; Kathryn Hyndman; Sonia Acorn
Workplace violence is a significant and widespread public health concern among health care workers, including nurses. With growing awareness of how practice environments influence patient outcomes and the retention of health professionals, it is timely to consider the impact of workplace violence in hospitals. Registered nurses in Alberta and British Columbia, Canada were surveyed on their experiences of violence in the workplace over the last five shifts. Our results suggest that nurses are experiencing many incidences of violence in a given work week, particularly in the emergency, psychiatric, and medical-surgical settings. Most violent acts are perpetrated by patients, but there is also a significant portion of violence and abuse committed by hospital co-workers, particularly emotional abuse and sexual harassment. Our results also indicate that the majority of workplace violence is not reported. We suggest that using the Broken Windows theory might be a useful tool to conceptualize why workplace violence occurs, and that this framework be used to begin to develop new violence prevention policies and strategies.
Journal of Nursing Administration | 1990
Phyllis Giovannetti; Judith Moore Johnson
The traditional approaches to monitoring reliability and validity are time consuming and costly and frequently lead to the abandonment of reasonable classification instruments. With the advent of micro computers and relational database software, nursing executives are now able to track reliability and validity on an ongoing basis. Because patient classification data are retained, they can be used to provide more accurate work load predictions and descriptions. Further, the ability to identify the source of problems with unit-specific instruments or nurse classifiers leads to the required corrective mechanism. Increased confidence in the reliability and validity of the work load data provides the staff nurse with direct evidence of the accuracy of the patient classification instrument and the nursing executive with a significantly stronger tool in budget planning and tracking, contract negotiations and financial risk reduction.
Journal of Nursing Administration | 2011
Carole A. Estabrooks; William K. Midodzi; Greta G. Cummings; Kathryn L. Ricker; Phyllis Giovannetti
BackgroundEvidence indicates that hospital nursing characteristics such as staffing contribute to patient outcomes. Less attention has been given to other hospital nursing characteristics central to optimal professional practice, namely nurse education and skill mix, continuity of care, and quality of the work environment. ObjectiveTo assess the relative effects and importance of nurse education and skill mix, continuity of care, and quality of work environment in predicting 30-day mortality after adjusting for institutional factors and individual patients characteristics. MethodA cross-sectional analysis of outcome data for 18,142 patients discharged from 49 acute care hospitals in Alberta, Canada, for diagnoses of acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, or stroke between April 1, 1998, and March 31, 1999, was done. Mortality data were linked to patient demographic and comorbidity factors, institutional characteristics, and hospital nursing characteristics derived from a survey of all registered nurses working in acute care hospitals. ResultsUsing multilevel analysis, it was determined that the log-odds for 30-day mortality varied significantly across hospitals (variance = .044, p < .001). Patient comorbidities and age explained 44.2% of the variance in 30-day mortality. After adjustment for patient comorbidities and demographic factors, and the size, teaching, and urban status of the study hospitals in a fixed-effects model, the odds ratios (95% confidence interval) of the significant hospital nursing characteristics that predict 30-day mortality were as follows: 0.81 (0.68–0.96) for higher nurse education level, 0.83 (0.73–0.96) for richer nurse skill mix, 1.26 (1.09–1.47) for higher proportion of casual or temporary positions, and 0.74 (0.60–0.91) for greater nurse-physician relationships. The institutional and hospital nursing characteristics explained an additional 36.9%. DiscussionHospital nursing characteristics are an important consideration in efforts to reduce the risk of 30-day mortality of patients.
Health Affairs | 2001
Linda H. Aiken; Sean P. Clarke; Douglas M. Sloane; Julie Sochalski; Reinhard Busse; Heather Clarke; Phyllis Giovannetti; Jennifer Hunt; Anne Marie Rafferty; Judith Shamian
Canadian Journal of Nursing Research Archive | 2016
Ann E. Tourangeau; Phyllis Giovannetti; Jack V. Tu; Marilyn Wood
Research in Nursing & Health | 2002
Carole A. Estabrooks; Ann E. Tourangeau; Charles K. Humphrey; Kathryn L. Hesketh; Phyllis Giovannetti; Donna Thomson; Jennifer Wong; Sonia Acorn; Heather Clarke; Judith Shamian
Journal of Nursing Scholarship | 2001
Jennifer Blythe; Andrea Baumann; Phyllis Giovannetti
Nursing leadership | 2008
Debbie White; Nelly D. Oelke; Jeanne Besner; Diane Doran; Linda McGillis Hall; Phyllis Giovannetti
Nursing leadership | 2008
Nelly D. Oelke; Debbie White; Jeanne Besner; Diane Doran; Linda McGillis Hall; Phyllis Giovannetti